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論文の言語 英語
著者 Fairuz Safwan Mahad, Masakazu Iwamura, and Koichi Kise
論文名 Learning Pyramidal Feature Hierarchy for 3D reconstruction
論文誌名 IEICE Transactions on Information and Systems
Vol. E105-D
No. 2
ページ pp.446-449
ページ数 4 pages
年月 2022年2月
要約 Neural network-based three-dimensional (3D) reconstruction methods have produced promising results. However, they do not pay particular attention to reconstructing detailed parts of objects. This occurs because the network is not designed to capture the fine details of objects. In this paper, we propose a network designed to capture both the coarse and fine details of objects to improve the reconstruction of the fine parts of objects.
DOI 10.1587/transinf.2020ZDL0001